Python for Algorithmic Trading Cookbook: Recipes for designing, building, and deploying algorithmic trading strategies w - Marjane Mall - Image 1
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Python for Algorithmic Trading Cookbook: Recipes for designing, building, and deploying algorithmic trading strategies w

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Marque : GENERIC
Vendu par KECHBOOK

Harness the power of Python libraries to transform freely available financial market data into algorithmic trading strategies and deploy them into a live trading environmentGet With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader FreeKey FeaturesFollow practical Python recipes to acquire, visualize, and store market data for market researchD...

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Description produit

Marque
GENERIC
Titre
Python for Algorithmic Trading Cookbook: Recipes for designing, building, and deploying algorithmic trading strategies with Python
Éditeur
Packt Publishing
Type de produit
paperback
Présentation du livre
paperback
Date de sortie
8/16/2024 12:00:00 AM
Langue d'origine
English
ISBN
1835084702
Nombre de pages
412 pages
Langue
English
Résumé
Harness the power of Python libraries to transform freely available financial market data into algorithmic trading strategies and deploy them into a live trading environmentGet With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader FreeKey FeaturesFollow practical Python recipes to acquire, visualize, and store market data for market researchDesign, backtest, and evaluate the performance of trading strategies using professional techniquesDeploy trading strategies built in Python to a live trading environment with API connectivityBook DescriptionDiscover how Python has made algorithmic trading accessible to non-professionals with unparalleled expertise and practical insights from Jason Strimpel, founder of PyQuant News and a seasoned professional with global experience in trading and risk management. This book guides you through from the basics of quantitative finance and data acquisition to advanced stages of backtesting and live trading.Detailed recipes will help you leverage the cutting-edge OpenBB SDK to gather freely available data for stocks, options, and futures, and build your own research environment using lightning-fast storage techniques like SQLite, HDF5, and ArcticDB. This book shows you how to use SciPy and statsmodels to identify alpha factors and hedge risk, and construct momentum and mean-reversion factors. You’ll optimize strategy parameters with walk-forward optimization using VectorBT and construct a production-ready backtest using Zipline Reloaded. Implementing all that you’ve learned, you’ll set up and deploy your algorithmic trading strategies in a live trading environment using the Interactive Brokers API, allowing you to stream tick-level data, submit orders, and retrieve portfolio details.By the end of this algorithmic trading book, you'll not only have grasped the essential concepts but also the practical skills needed to implement and execute sophisticated trading strategies using Python.What you will learnAcquire and process freely a
Auteur
Jason Strimpel
Date de parution
8/16/2024 12:00:00 AM